{"id":"https://openalex.org/W7147147822","doi":"https://doi.org/10.48550/arxiv.2603.29092","title":"TrajectoryMover: Generative Movement of Object Trajectories in Videos","display_name":"TrajectoryMover: Generative Movement of Object Trajectories in Videos","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147147822","doi":"https://doi.org/10.48550/arxiv.2603.29092"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:kth-378954","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-378954","pdf_url":null,"source":{"id":"https://openalex.org/S4306401560","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-378954","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132624305","display_name":"Kiran Chhatre","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chhatre, Kiran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075122736","display_name":"Hyeonho Jeong","orcid":"https://orcid.org/0000-0002-6864-4190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong, Hyeonho","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000106199","display_name":"Yulia Gryaditskaya","orcid":"https://orcid.org/0000-0002-1951-6475"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gryaditskaya, Yulia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132701780","display_name":"Christopher E. Peters","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peters, Christopher E.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059883840","display_name":"Chun-Hao P. Huang","orcid":"https://orcid.org/0000-0002-1268-6527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Chun-Hao Paul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127802837","display_name":"Paul Guerrero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guerrero, Paul","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5132624305"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4320000112056732,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4320000112056732,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.3521000146865845,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.04670000076293945,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7394000291824341},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6563000082969666},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6464999914169312},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6101999878883362},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5611000061035156},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.553600013256073},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5400000214576721},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5081999897956848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058000206947327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445999979972839},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7394000291824341},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6887999773025513},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6464999914169312},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6101999878883362},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5611000061035156},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5400000214576721},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5081999897956848},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.43130001425743103},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.41850000619888306},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:kth-378954","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-378954","pdf_url":null,"source":{"id":"https://openalex.org/S4306401560","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2603.29092","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29092","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-378954","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-378954","pdf_url":null,"source":{"id":"https://openalex.org/S4306401560","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generative":[0],"video":[1,11,93,148,152],"editing":[2,7],"has":[3],"enabled":[4],"several":[5],"intuitive":[6],"operations":[8],"for":[9,22,95,144],"short":[10],"clips":[12],"that":[13,161],"would":[14],"previously":[15],"have":[16],"been":[17],"difficult":[18],"to":[19,62,107],"achieve,":[20],"especially":[21],"non-expert":[23],"editors.":[24],"Existing":[25],"methods":[26,99],"focus":[27],"on":[28,41,102],"prescribing":[29],"an":[30,46,64,74],"object's":[31,65],"3D":[32,66,80],"or":[33,40,48],"2D":[34],"motion":[35,67],"trajectory":[36,68],"in":[37,69,90,124],"a":[38,49,60,70,125,139,151],"video,":[39,71],"altering":[42],"the":[43,54,122,133],"appearance":[44],"of":[45,121,167],"object":[47,75,168],"scene,":[50],"while":[51,76],"preserving":[52,77],"both":[53],"video's":[55],"plausibility":[56],"and":[57,150],"identity.":[58],"Yet":[59],"method":[61],"move":[63],"i.e.,":[72],"moving":[73],"its":[78],"relative":[79],"motion,":[81],"is":[82],"currently":[83],"still":[84],"missing.":[85],"The":[86],"main":[87],"challenge":[88],"lies":[89],"obtaining":[91],"paired":[92,110,147],"data":[94,104,111,141,149],"this":[96,116,157,162],"scenario.":[97],"Previous":[98],"typically":[100],"rely":[101],"clever":[103],"generation":[105,142],"approaches":[106],"construct":[108],"plausible":[109],"from":[112,132],"unpaired":[113],"videos,":[114],"but":[115],"approach":[117],"fails":[118],"if":[119],"one":[120],"videos":[123],"pair":[126],"can":[127],"not":[128],"easily":[129],"be":[130],"constructed":[131],"other.":[134],"Instead,":[135],"we":[136],"introduce":[137],"TrajectoryAtlas,":[138],"new":[140],"pipeline":[143],"large-scale":[145],"synthetic":[146],"generator":[153],"TrajectoryMover":[154],"fine-tuned":[155],"with":[156],"data.":[158],"We":[159],"show":[160],"successfully":[163],"enables":[164],"generative":[165],"movement":[166],"trajectories.":[169],"Project":[170],"page:":[171],"https://chhatrekiran.github.io/trajectorymover":[172]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
